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Qwen3.5 arch implementation in FPGA fabric for 9B/27B INT4 models on relatively cheap eBay mining hardware

AI summary

A developer implemented Qwen3.5 architecture for 9B/27B INT4 models on FPGAs, using cheap eBay mining hardware like the SQRL FK33. This project was motivated by the impressive performance of Qwen 3.8 models. The developer previously worked on llama.c inference on an AXU3EG FPGA dev board, primarily using Opus 4.8 for implementation. The project's repository is available on GitHub under the MIT license.

Why this one

This report details an FPGA implementation of Qwen3.5 on relatively cheap hardware, unlike most LLM inference projects that use high-end GPUs or custom ASICs.

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IngestedOffset at this time: UTC+0Oct 4, 2026, 21:00 UTC

Ingested
Oct 4, 2026, 21:00
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